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Added 2 months ago
OM
Manager, Data Management & Visualization
Omnicom Media
Montreal, QC
- Full-time
You will lead and manage a small team of developers responsible for designing, developing, and maintaining interactive dashboards and data visualizations that provide actionable insights…
Added 2 months ago
OM
Manager, Data Science
Omnicom Media
Toronto, ON
- Full-time
We are hiring a Data Science Manager to lead project delivery across a range of data science engagements and serve as a key point of contact for clients. You will manage the day-to-day work…
Added 1 month ago
M
Junior Digital-Analog PCB Engineer/Designer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
Oversee board assembly and manufacturing tests under the supervision of a technical lead.
Added 2 months ago
Director, AI & Data Science
Artefact
Montreal, QC
You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions - from classical machine learning models to…
Added 2 months ago
Director, AI & Agentic Engineering
Artefact
Montreal, QC
You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions - from classical machine learning models to…
Added 2 months ago
V
Systems Engineer
VueReal
Waterloo, ON
- Full-time
…application software together into working products. You will lead bring up of new hardware, build the software tools the team needs to configure, test, calibrate, and demonstrate systems,…
Added 1 month ago
Senior Software Test Engineer
Coursera Sourcing
Toronto, ON
Research and identify AI augmented agentic solutions and lead large-scale test automation initiatives
Added 1 month ago
Manager- Finance Optimization- Financial Accounting and Advisory Services- Assurance
EY
Toronto, ON
…EY practices to service client needs. Your role will be to lead projects or workstreams, support or lead business development activities, and develop junior staff, while working with a wide…
Added 2 months ago
M
Forward Deployed Engineering, US Oncology
McKesson
Mississauga, ON
- Full-time
The US Oncology Network is seeking a Lead Forward Deployed Engineer (FDE) to partner directly with business and operational teams to turn complex, high-value problems into validated…
Added 3 months ago
AA
Analyste de la Valeur Ajoutée Client / Customer Value-Added Analyst
Airbus Aircraft
Montreal, QC
- Full-time
Analyser les performances à l'aide d'outils statistiques (Skywise, Power BI, Python) pour identifier les causes profondes des écarts de CVAT et d'efficacité;
Added 2 months ago
J
Manager, Customer Analytics (Sales & Marketing)
Jobber
Remote, Canada
- Full-time
- Remote
Jobber is looking for a Manager, Customer Analytics (Sales & Marketing) to lead the analytics function supporting our Marketing & Channels and Sales & Partnerships pods. Reporting to the…
Added 2 months ago
V
Technical Support Engineer
VGS
Canada
- Full-time
…client-facing teams about and make sure the notice goes out with enough lead time for customers to…
Added 2 months ago
D
Solutions Engineer
d1g1t
Toronto, ON
- Full-time
Ad hoc topic development: own the creation and development of presentations to lead conversations on new or complicated topics or functions. Adjust these presentations over time as new…
Added 1 month ago
Electrical Engineering, Power
WSP
Winnipeg, MB
Lead and contribute to study review meetings, bringing clear technical insight to clients and project partners.
Added 2 months ago
WT
Embedded Firmware Developer
Waterloo Technical Inc.
Kitchener, ON
- Full-time
We're looking for an Embedded Firmware Developer to join our technical team in Kitchener. This is a hands-on role bringing connected hardware products to life: writing firmware, working at…
Added 2 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Programming: Strong coding skills in Python (preferred) or Go, with an emphasis on writing clean, concurrent code and utilizing the Google Cloud SDK
Added 1 month ago
N
Technical Director Lighting - Netflix Animation Studios
Netflix
Vancouver, BC
- Full-time
Participate in or lead the direction, evolution & maintenance of technology within the relevant production craft groups .
Added 1 month ago
PC
Salesforce Technical Manager
Pwc Canada
Toronto, ON · Vancouver, BC
- Full-time
…developers and shaping technical strategy for the practice. You'll lead our next-generation AI initiatives, working directly with Agentforce, Data Cloud, and the Lightning Platform to build…
Added 2 months ago
EI
Factory Test Specialist
Ecolab Inc.
Calgary, AB
- Full-time
Lead root cause investigations for complex yield escapes and customer returns using structured problem-solving methodologies (8D, DMAIC, Fishbone, Fault Tree Analysis).
Added 2 months ago
SJ
Software Engineer, Applied AI
St. Joseph Communications
Toronto, ON
- $110,000 to $130,000 CAD / year
Senior engineering ability: Write clean, documented code (Python, Go, JavaScript, etc.) and use agentic coding tools (Claude Code, Codex etc) as a core part of your development workflow -…
Added 2 months ago
C
Azure Cloud and AI Lead - 69858401
Cognizant
Toronto, ON
- Full-time
Technical Lead – Azure Cloud, Kubernetes & Machine Learning
Added 2 months ago
JG
Senior Fullstack Developer
J&M Group
Toronto, ON
- Full-time
Full Stack & Cloud Development: Design, build, and maintain enterprise-grade applications using Python, TypeScript/JavaScript, and AWS serverless architecture.
Added 3 months ago
Senior Quality Engineering Lead
WELL Health Technologies Corp
Toronto, ON
Position Title: Senior Quality Engineering Lead, AI-Driven Testing
Added 2 months ago
JO
IT Business Operations Manager
JELD-WEN of Canada
Woodbridge, ON
- Full-time
Advanced programming across major languages (C#, Java, Python, Progress 4GL, VB, SQL) to develop, enhance and maintain plant automation, integrations and custom applications
Added 2 months ago
S
Integration Architect-Toronto
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Lead the implementation of integration & API solutions using appropriate middleware and integration tools.

Artefact

Director, AI & Data Science

Montreal, QC, Canada

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Job details

Posting language: English
Posted: Aug 24, 2026

Original job description

About the job

Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing?

With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We’ve recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team!

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel.

We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing

You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions - from classical machine learning models to LLM-powered applications - and the pipelines that power them. You’ll bring senior technical judgment to architecture and model decisions, partner closely with clients and business stakeholders - including hands-on pre-sales work shaping proposals and solution designs - and define how context engineering, agent harnesses, and fine-tuning practices get embedded into every solution, while reporting into senior AI/technology leadership on strategy and priorities.

AI & ML Solution Architecture: Leading the design, build, and optimization of production AI systems - classical machine learning models, LLM applications, and agentic systems - ensuring scalability, reliability, and cost-efficient inference.
Context Engineering: Defining and standardizing context engineering practices - prompt and system design, RAG architectures, vector stores, memory management, and tool/function calling - so models receive the right information at the right time.
Harness Engineering: Directing the build of robust agent harnesses - orchestration layers, evaluation frameworks, guardrails, and observability - that make LLM systems reliable, safe, and measurable in production.
Fine-Tuning Pipelines: Leading the design and operation of fine-tuning and model adaptation pipelines - training data curation, supervised fine-tuning, evaluation, and deployment - to specialize models for client use cases.
Platform Stack: Architecting and deploying solutions on Google Gemini Enterprise and Vertex AI as the primary stack, applying working knowledge of Microsoft AI Foundry and AWS Bedrock where client contexts require.
Team Leadership: Managing, mentoring, and developing a team of AI & ML engineers; setting technical standards and fostering best practices and knowledge sharing.
Pre-Sales & Business Development: Supporting pre-sales activities - scoping engagements, building demos and proofs of concept, and presenting solution architectures to prospective clients alongside account teams.
Machine Learning Modeling: Overseeing the development of classical and modern ML models - predictive modeling, forecasting, recommendation, and deep learning - choosing the right technique for each business problem, LLM or not.
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.

What we are looking for

The ideal candidate has a substantial Data Science and machine learning background with 8+ years of experience, including at least 2–3 years working on LLM architecture, agentic design, and harness & context engineering.
Expertise in generative AI/LLM engineering (context engineering, agent harnesses, RAG, and fine-tuning) and in classical machine learning modeling, with proven production deployments.
Master’s degree (or higher) in computer science, engineering, statistics/mathematics, or a related field.
Hands-on command of core machine learning libraries (scikit-learn, XGBoost, etc.), agentic SDKs (LangGraph/LangChain, Google ADK, Claude Agent SDK), and fine-tuning frameworks (PyTorch, TensorFlow).
Experience building fine-tuning pipelines end to end: training data curation, supervised fine-tuning, evaluation, and deployment.
Solid grasp of AI system design: ML model lifecycle (MLOps), agents, tool use, evaluation harnesses, guardrails, and observability.
Deep experience with Google Gemini Enterprise / Vertex AI; basic working knowledge of Microsoft AI Foundry and AWS Bedrock.
Experience leading and growing engineering teams, and supporting pre-sales: proposals, demos, and solution scoping with clients.
Excellent communication skills and comfort collaborating across teams and with stakeholders.
Strong business acumen with an interest in business-facing work.
Adaptability and a start-up mentality to thrive in a dynamic environment.

Preferred:

Google Gemini Enterprise ecosystem (Vertex AI, Agent Builder) as the primary stack; basic knowledge of Microsoft AI Foundry and AWS Bedrock

Why Join Us

We are united by our values and strengthened by our hybrid expertise.

There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
Client trust is won on the field: Addressing client needs flows better hands on at their side.
If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
We learn everyday: Tech is a land where everything moves at the speed of light, you better be ready to challenge yourself.

The estimated base compensation for this role starts at $200,000 (NYC location). Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for competitive benefits.

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More about this job

Responsibilities

You will lead a team of AI and machine learning engineers to design and deliver production-grade AI solutions, including classical models and LLM-powered applications. Additionally, you will partner with business stakeholders to shape proposals, define technical strategy, and oversee the end-to-end lifecycle of AI systems.

Requirements

The ideal candidate possesses 8+ years of experience in data science and machine learning, with at least 2-3 years specifically focused on LLM architecture and agentic design. A master's degree or higher in a quantitative field is required, along with proven expertise in production deployments and team leadership.

Skills

AI Strategy
Machine Learning
LLM Architecture
Agentic Design
Context Engineering
RAG
Fine-tuning
Google Vertex AI
Python
PyTorch
TensorFlow
MLOps
Team Leadership
Pre-sales
Solution Architecture
Data Science

Benefits

Competitive benefits

Visa sponsorship

Not detected in the job text

Keywords

AI
Data Science
Machine Learning
LLM
Generative AI
Agentic Systems
RAG
Fine-tuning
Google Gemini Enterprise
Vertex AI
Microsoft AI Foundry
AWS Bedrock
MLOps
Predictive Modeling
Deep Learning
LangGraph
LangChain
Scikit-learn
XGBoost
Consulting
Digital Transformation
Solution Architecture
Data Engineering
Business Development
Agile Methodologies
Context Engineering
Observability
Guardrails
Data Curation
Deployment

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